{"id":"W3175953501","doi":"10.1161/atvb.36.suppl_1.3","title":"Abstract 3: Targeting Macrophage Necroptosis for Therapeutic and Diagnostic Interventions to Treat Atherosclerosis","year":2016,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Necroptosis; Programmed cell death; Inflammation; Macrophage; Apoptosis; Lesion; Cancer research; Necrosis; Cell biology; Tumor necrosis factor alpha; Phosphorylation; Biology; Pathology; Medicine; Immunology; In vitro; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003611434,0.0005885964,0.0003529022,0.0003602629,0.0001954562,0.0005248067,0.0004249527,0.0009417313,0.01004791],"category_scores_gemma":[0.0001419386,0.0001086536,0.0002972437,0.0001697262,0.000273876,0.000345729,0.0003223483,0.0007998066,0.002861459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000424416,"about_ca_system_score_gemma":0.0004279203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001960839,"about_ca_topic_score_gemma":0.0003248082,"domain_scores_codex":[0.9999099,0.0000167342,0.000008268134,0.00001320913,0.00003477305,0.0000171255],"domain_scores_gemma":[0.9999088,0.000009787352,0.00002113002,0.000006759673,0.00002809006,0.00002546305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001232841,0.0003432665,0.0003644708,0.001116862,0.00003184648,0.0003301481,0.00003568093,0.0002758086,0.9216229,0.002753313,0.007982254,0.06391055],"study_design_scores_gemma":[0.0008139631,0.003015873,0.004398611,0.0003190976,0.0001932727,0.002750695,0.0000378176,0.001818977,0.8194711,0.002429724,0.1647237,0.00002713438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5184117,0.2103298,0.09829778,0.02851301,0.004132168,0.002162403,0.005375832,0.003438374,0.1293389],"genre_scores_gemma":[0.7771102,0.0771044,0.04304895,0.005719096,0.00160405,0.0008410696,0.0032255,0.0002850855,0.09106154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01004791,"threshold_uncertainty_score":0.03361362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381965629612885,"score_gpt":0.2893506133767592,"score_spread":0.2511540504154707,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}